A Comparison of Seasonal Adjustment Methods When Forecasting Intraday Volatility

In this article we compare volatility forecasts over a thirty‐minute horizon for the spot exchange rates of the Deutsche mark and the Japanese yen against the U.S. dollar. Explicitly modeling the intraday seasonal pattern improves the out‐of‐sample forecasting performance. We find that a seasonal estimated from the log of squared returns improves with the use of simple squared returns, and that the flexible Fourier form (FFF) is an efficient way of determining the seasonal. The two‐step approach that first estimates the seasonal using the FFF and then the parameters of the generalized autoregressive conditional heteroskedasticity (GARCH) model for the deseasonalized returns performs only marginally worse than the computationally expensive periodic GARCH model that includes the FFF.     

Price Discovery and Liquidity in Basket Securities

Basket securities enable investors to purchase a broad portfolio of securities in a single transaction. We examine the link between HOLDRS, a basket security comprising stocks from an industry or sector, and the underlying stocks. We find that the price of the portfolio of underlying securities leads and is more informative than the basket price. Our results are contrary to the findings of empirical studies that use futures, which are basket securities with features less like those of the underlying equities. Our findings suggest uninformed investors can minimize adverse selection costs by trading basket securities rather than the underlying stocks.     

How do we make you look good? A social network study of upstream organizational impression management and the rhetorical construction of IPO firm images

We present an upstream model of impression management, focusing on how institutional actors may influence the rhetorical content of images IPO firms present to potential investors. Focusing on impression management to minimize poor and maximize good perceptions, we examined the risk, strategy, and governance images presented in prospectuses of 167 firms who issued an IPO between 1996 and 2000. Our results show that dependence on professional firms and IPO firm network prominence help shape the rhetorical construction of these images and suggest that impression management can be understood in terms of Goffman's team‐based effort to control a social interaction situation. Copyright © 2011 ASAC. Published by John Wiley & Sons, Ltd.     

OASIS: An Integrative Toolkit for Developing Autonomous Applications in Decentralized Environments

Organization Activity Support and Information System (OASIS) is a computer-based information system that supports; the construction and deployment of business applications. It is aimed at supporting the following 4 major organizational needs: (a) using data processing, reasoning, and communication in an integrative manner; (b) allowing control over one's own applications; (c) tying together independently developed applications for organizational use; and (d) simplifying certain types of changes or evolution. OASIS accomplishes these needs by viewing organizations as consisting of autonomous units with the capability of interacting with each other and by the integrative use of blackboards and forms. This article describes the OASIS system, presents a small example of its abilities, and describes planned future research.     

Shamrock Shirt Co.'s non-interest bearing note

Student knowledge engineering is a new instructional technique which places students in the role of expert systems developers. This paper examines the feasibility, costs and benefits of this technique within the context of the accounting curriculum. A knowledge engineering project in the area of taxation is presented and evaluated by monitoring students' problem solving behaviour before, during and after developing their expert systems. Evidence suggests that knowledge engineering provides and environment in which students learn to (1) search, (2) read with a problem solving frame of mind, (3) communicate logically, (4) organize and structure accounting knowledge, and (5) logically problem solve, while learning accounting content material. In addition, knowledge engineering gives students a hands-on introduction to expert systems technology. Student knowledge engineering was implemented and evaluated in an Accounting Information Systems course. Student experiences were generally positive and confirmed expectations. Times required for completion of the projects were similar to those of other major course assignments.     

Examining Antecedents to Supply Chain Security Effectiveness: An Exploratory Study

In recent years there has been increasing emphasis on managing risk and security in supply chains. Despite this emphasis, there have been relatively few empirical studies dealing with this issue. In an attempt to partially address this lack of empirical research, the primary purpose of this study was to explore the relationship between security management practices and the perceived effectiveness of supply chain security. With a resource‐based view of the firm and supply chain integration as theoretical underpinnings, the study utilized survey data to test propositions derived from the security literature. Internal and external integration efforts, a nodal planning focus, and proactive motivations related to security measures were found to be positively related to security effectiveness. The article concludes with implications for security stakeholders including suggestions for future research.     

Measuring and forecasting S&P 500 index‐futures volatility using high‐frequency data

In the 24‐hr foreign exchange market, Andersen and Bollerslev measure and forecast volatility using intraday returns rather than daily returns. Trading in equity markets only occurs during part of the day, and volatility during nontrading hours may differ from the volatility during trading hours. This paper compares various measures and forecasts of volatility in equity markets. In the absence of overnight trading it is shown that the daily volatility is best measured by the sum of intraday squared 5‐min returns, excluding the overnight return. In the absence of overnight trading, the best daily forecast of volatility is produced by modeling overnight volatility differently from intraday volatility. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:497–518, 2002     

Nonnegativity constraints and intratemporal uncertainty in a multi-good life-cycle model

In the standard multi-good life-cycle consumption model (with intertemporal additive utility) the intratemporal relations between the marginal utilities of the different goods are deterministic. However, these deterministic identities will not usually be satisfied by the data. To avoid these deterministic relationships, we apply an approach which consists of introducing intratemporal uncertainty, and which is, in particular, interesting when additional nonnegativity constraints are present. We estimate some simple versions of the model with this so-called intratemporal uncertainty. The estimation results are, in general, in accordance with the theory, and most versions of the model are not rejected by Hansen and Singleton's misspecification test.     

Informative advertising by an environmental group

Consuming a product does not (necessarily) reveal the environmental damage it may cause. In terms of environmental damage, most goods are credence goods. Therefore, advertising and pricing rarely can transmit such information effectively to consumers. This article considers the scope with which an environmental group (EG) can signal this information to consumers via advertising and campaigning. Although an EG can inform the public, the welfare effects are ambiguous. Therefore, the EG may not have an incentive to acquire information about the firm’s production practices. However, when the firm chooses the level of environmental damage and the EG chooses whether to acquire information, there exists a mixed-strategy equilibrium for some parameter values, such that the EG acquires information, and the threat of advertising causes the firm to produce an environmentally friendly good.     

Measuring innovation in a ‘low-tech’ service industry: the case of the Dutch hospitality industry

This article presents the findings of a survey among 613 firms in the Dutch hospitality industry adopting a demarcation perspective. The paper illustrates that innovation in this service industry is much higher and more varied than regularly reported. It further indicates that innovation activities in ‘low-tech industries’ can be in place with less formalized forms of (service) innovation management. Finally, it is shown that a higher innovation intensity is associated with better firm performance. Based on this, some implications for managing innovation in the hospitality industry are discussed. Finally, some fundamental issues in the measurement of service innovation are raised.